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Python [conda env:base] *
Kernel status: Idle Executed 2 cellsElapsed time: 2 seconds
image/svg+xml
       PassengerId Survived  Pclass  \
    0            1       No       3   
    1            2      Yes       1   
    2            3      Yes       3   
    3            4      Yes       1   
    4            5       No       3   
    
                                                    Name     Sex   Age  SibSp  \
    0                            Braund, Mr. Owen Harris    male  22.0      1   
    1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   
    2                             Heikkinen, Miss. Laina  female  26.0      0   
    3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   
    4                           Allen, Mr. William Henry    male  35.0      0   
    
       Parch            Ticket     Fare Cabin Embarked  
    0      0         A/5 21171   7.2500   NaN        S  
    1      0          PC 17599  71.2833   C85        C  
    2      0  STON/O2. 3101282   7.9250   NaN        S  
    3      0            113803  53.1000  C123        S  
    4      0            373450   8.0500   NaN        S  
    <class 'pandas.core.frame.DataFrame'>
    RangeIndex: 891 entries, 0 to 890
    Data columns (total 12 columns):
     #   Column       Non-Null Count  Dtype  
    ---  ------       --------------  -----  
     0   PassengerId  891 non-null    int64  
     1   Survived     891 non-null    object 
     2   Pclass       891 non-null    int64  
     3   Name         891 non-null    object 
     4   Sex          891 non-null    object 
     5   Age          714 non-null    float64
     6   SibSp        891 non-null    int64  
     7   Parch        891 non-null    int64  
     8   Ticket       891 non-null    object 
     9   Fare         891 non-null    float64
     10  Cabin        204 non-null    object 
     11  Embarked     889 non-null    object 
    dtypes: float64(2), int64(4), object(6)
    memory usage: 83.7+ KB
    None
    PassengerId      0
    Survived         0
    Pclass           0
    Name             0
    Sex              0
    Age            177
    SibSp            0
    Parch            0
    Ticket           0
    Fare             0
    Cabin          687
    Embarked         2
    dtype: int64
    
    [66]:
    Selection deleted

    # Extract the title from the Name column
    df["Title"] = df["Name"].str.extract(r",\s*([^\.]+)\.")

    # Display unique titles
    print("Unique Titles:", df["Title"].unique())

    # Define high-ranking titles
    high_rank_titles = ["Capt", "Col", "Major", "Dr", "Rev", "Sir", "Lady", "Don", "Dona", "Jonkheer", "the Countess"]

    # Create a new column indicating whether a passenger had a rank (True/False)
    df["Rank"] = df["Title"].isin(high_rank_titles)

    # Display the first few rows with new columns
    df[["Name", "Title", "Rank"]].head()

    Unique Titles: ['Mr' 'Mrs' 'Miss' 'Master' 'Don' 'Rev' 'Dr' 'Mme' 'Ms' 'Major' 'Lady'
     'Sir' 'Mlle' 'Col' 'Capt' 'the Countess' 'Jonkheer']
    
    [66]:
    Name Title Rank
    0 Braund, Mr. Owen Harris Mr False
    1 Cumings, Mrs. John Bradley (Florence Briggs Th... Mrs False
    2 Heikkinen, Miss. Laina Miss False
    3 Futrelle, Mrs. Jacques Heath (Lily May Peel) Mrs False
    4 Allen, Mr. William Henry Mr False
    [2]:
    # Visualization 1: Survival rate by Title
    plt.figure(figsize=(12, 6))
    sns.countplot(data=df, x="Title", hue="Survived", palette="coolwarm")
    plt.xticks(rotation=45)
    plt.title("Survival Rate by Title")
    plt.show()

    # Visualization 2: Survival rate by Rank (Boolean Feature)
    plt.figure(figsize=(8, 6))
    sns.countplot(data=df, x="Rank", hue="Survived", palette="coolwarm")
    plt.title("Survival Rate by Rank")
    plt.show()

    # Visualization 3: Survival Rate by Pclass and Title
    plt.figure(figsize=(14, 6))
    sns.catplot(data=df, x="Pclass", hue="Survived", col="Title", kind="count", col_wrap=4, palette="coolwarm")
    plt.show()
    ---------------------------------------------------------------------------
    NameError                                 Traceback (most recent call last)
    Cell In[2], line 2
          1 # Visualization 1: Survival rate by Title
    ----> 2 plt.figure(figsize=(12, 6))
          3 sns.countplot(data=df, x="Title", hue="Survived", palette="coolwarm")
          4 plt.xticks(rotation=45)
    
    NameError: name 'plt' is not defined
    [ ]:

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